Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
This session provides an introduction to the AWS platform and services. It explains how you can get started on your cloud journey and what resources you can use build sophisticated applications with increased flexibility, scalability and reliability. The session also covers the benefits customers are enjoying by moving to AWS cloud; increased agility, faster decision making and the ability to fail fast and innovate.
CodeBuild CodePipeline CodeDeploy CodeCommit in AWS | EdurekaEdureka!
This document provides an overview of AWS, DevOps, continuous integration and delivery, CodePipeline, CodeDeploy, CodeBuild, and CodeCommit. It discusses that AWS is a cloud platform offering computing and storage, DevOps aims to reduce change deployment time while ensuring quality, continuous integration and delivery automate software releases, and CodePipeline automates and visualizes app release processes through various stages like source, build, test and deploy handled by services like CodeBuild, CodeDeploy, and CodeCommit.
This document provides an introduction to AWS and summarizes the key services and benefits it offers. It discusses how AWS enables agility and continuous innovation through a broad platform and services that are continually upgraded. It also allows organizations to trade capital expenses for variable costs and realize cost savings through economies of scale. The document highlights compute, storage, database, analytics, app development and mobile services available on AWS and how they can be used to develop, deploy and scale applications.
This document provides an overview of AWS networking fundamentals including VPC concepts such as IP addressing, subnets, routing, security groups, and connecting VPCs. It discusses choosing IP address ranges and creating subnets across availability zones. It also covers routing and traffic flow, DNS options, network security using security groups and network ACLs, and VPC flow logs. Methods for connecting VPCs like VPC peering, Transit Gateway, VPN connections, and Direct Connect are also summarized.
[NEW LAUNCH!] AWS Transit Gateway and Transit VPCs - Reference Architectures ...Amazon Web Services
This document discusses reference architectures for connecting many VPCs using Transit Gateways and Transit VPCs. It begins by describing how Transit VPCs work for connecting VPCs and their limitations around scaling and performance. It then introduces the AWS Transit Gateway as a new solution for connecting many VPCs across accounts and regions. It provides examples of how to configure route domains in Transit Gateways to implement flat or isolated connectivity models between VPCs.
In this session, you'll learn how to architect your applications based on Amazon Web Services' Well-Architected Framework principles and Adrian’s 10+ years of experience using AWS.
Continuous Delivery with AWS Lambda - AWS April 2016 Webinar SeriesAmazon Web Services
Managing the deployment of code to multiple AWS Lambda functions and updating your API Gateway methods can be manual and time consuming.
In this webinar, we will show you how to build a deployment pipeline to AWS Lambda using AWS CodePipeline. We will discuss how to use versioning, allowing you to better manage the different variations of your Lambda function and API Gateway methods in your development workflow, such as development, staging, and production. We will walk through how to automate the entire release process of your application from development to staging and finally to production, performing automated integration tests at each stage.
Learning Objectives:
Understand the basics of AWS CodePipeline
Learn how to version AWS Lambda functions and API Gateway methods
Build a deployment pipeline to AWS Lambda
- The document provides an overview of Amazon Web Services (AWS), a cloud computing platform that provides on-demand computing resources and services.
- AWS aims to provide reliable, scalable, and inexpensive services that are easy for developers to use, allowing them to focus on their core businesses rather than managing infrastructure.
- Major AWS services include Amazon EC2 for computing power, S3 for storage, SimpleDB for databases, and CloudFront for content delivery. These services allow businesses to avoid the upfront and ongoing costs of managing their own infrastructure.
This document provides an overview of AWS pricing models and services. It discusses the different types of pricing for core AWS services including on-demand, reserved, and spot instances. It also covers additional pricing for services like EBS, monitoring, and data transfer. Tools for analyzing and optimizing AWS costs are demonstrated, including the AWS pricing calculator and RightScale's Plan for Cloud. Tips for reading bills and setting pricing alerts are also presented.
Amazon Web Services or simply known as AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 40 services.
For more details - http://www.i2k2.com/services/amazon-web-services/aws/
View these slides if you're you new to cloud computing and would like to learn more about Amazon Web Services (AWS), if you intend to implement a project and would like to discover the basics of the AWS cloud or if you are a business looking to evaluate cloud computing.
In the webinar based on these slides, we answered the following questions:
• What is Cloud Computing with AWS and what benefits can it deliver?
• Who is using AWS and what are they using it for?
• How can I use AWS Services to run my workloads?
View the webinar recording on YouTube here: http://youtu.be/QROD20r6-sQ
AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.
This document provides an introduction to Amazon Web Services (AWS), including:
- AWS is a cloud provider that offers on-demand servers and services that can easily scale. It powers websites like Amazon and Netflix.
- AWS has a global infrastructure spanning 69 availability zones across 22 regions worldwide, with plans to expand to 3 more regions.
- AWS regions contain multiple, isolated availability zones to protect against disasters. Services are scoped to regions except for a few like S3.
- AWS offers a variety of computing, networking, database, storage and security services according to different responsibility models.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
This document introduces Amazon EKS, a managed Kubernetes service that makes it easy to run Kubernetes on AWS. Some key points:
- EKS manages the control plane components needed to run Kubernetes clusters, eliminating the overhead of maintaining the control plane.
- It provisions and manages the Kubernetes control plane across multiple availability zones, providing high availability.
- It also integrates tightly with other AWS services like IAM, VPC networking, security groups, load balancers, and more for a native AWS experience.
- EKS is based on the open source Kubernetes project and allows users to leverage the same APIs, tooling, and features while benefiting from the scalability of AWS.
AWS CodeDeploy, AWS CodePipeline, and AWS CodeCommit: Transforming Software D...Amazon Web Services
This document summarizes a presentation about AWS CodeDeploy, CodePipeline, and CodeCommit. The presentation introduces these services for automating software deployments and releases. CodeDeploy allows automating application deployments across different environments without downtime. CodePipeline provides customizable workflows for continuous delivery. CodeCommit provides a fully managed Git source control service. The presentation demonstrates how these services help transform software development processes.
금융 X 하이브리드 클라우드 플랫폼 - 한화생명 디지털 트랜스포메이션 전략 - 김나영 AWS 금융부문 사업개발 담당 / 박인규 AWS 금융...Amazon Web Services Korea
금융권의 클라우드 여정과 AWS Outposts를 활용한 하이브리드 환경 구성 방법을 소개합니다. 한화생명은 급변하는 비즈니스와 기술 환경에 민첩하게 대응하고 고객에게 선진 상품을 제공하고자, AWS Outposts 기반의 하이브리드 환경을 통해 100% 컨테이너 기반의 마이크로서비스 아키텍쳐를 구성하였습니다. 금융 클라우드 이용 가이드 준수를 위한 관리 및 통합 거버넌스 체계 구축 방법부터 다양한 AWS 서비스를 활용한 민첩한 서비스 개발 방법까지 폭넓게 알아봅니다.
The document discusses content delivery networks (CDNs) and Amazon CloudFront. A CDN improves performance and reliability by caching content across globally distributed edge servers close to users. CloudFront is AWS's CDN that provides low latency, high bandwidth, redundancy, scalability and cost-effectiveness. It supports dynamic and static content delivery via HTTP, RTMP and more. Customers can use CloudFront to improve website performance and user experience.
Amazon Web Services (AWS) provides on-demand computing solutions and services in the cloud with pay-as-you-go pricing. This session unlocks a foundational understanding of the cloud. What is cloud computing and its advantages? Learn more about types of cloud computing and the differences between On Premises services versus Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
This document discusses building a serverless data pipeline using AWS Lambda and other AWS managed services like DynamoDB, Kinesis Firehose and S3. It provides steps to create a DynamoDB table with streams enabled, a Lambda function to read from the DynamoDB streams and write to Kinesis Firehose, and a Kinesis Firehose delivery stream to deliver data to S3. With these serverless components, data can be ingested and processed without having to provision or manage any servers.
This document summarizes a presentation about new features for container services on AWS. It discusses Amazon ECS capacity providers which allow applications to control infrastructure, running containers on AWS Fargate without managing servers, and using EKS on Fargate for serverless Kubernetes deployments. It also provides updates on container usage growth, new EKS features like Fargate profiles, and the benefits of event-driven architectures on AWS.
Building Serverless Container Applications using AWS Fargate and CDK Amazon Web Services
This document outlines an agenda for a presentation on building serverless container applications using AWS Fargate and the AWS Cloud Development Kit (CDK). The presentation will introduce AWS Fargate and demonstrate how to deploy a simple application using Fargate. It will then cover provisioning and deploying the application using the AWS CDK. Attendees should have knowledge of containers, Docker, infrastructure as code, and basic programming skills.
Docker and AWS have been working together to improve the Docker experience you already know and love. Deploying from Docker straight to AWS with your existing workflow has never been easier. Developers can use Docker Compose and Docker Desktop to deploy applications on Amazon ECS on AWS Fargate. This new functionality streamlines the process of deploying and managing containers in AWS from a local development environment running Docker. Join us for a hands-on walk through of how you can get started today.
AWS Summit Singapore 2019 | Microsoft DevOps on AWSAWS Summits
Speaker: Sriwantha Attanayake, Solutions Architect, APAC, AWS
Developers building applications targeting the Windows platform or using Microsoft .NET are used to high-quality tools like Team Foundation Server (TFS) and Azure DevOps. Did you know you can easily integrate these with AWS services to create fully managed CI/CD pipelines that scale easily? Did you know you could use these pipelines to deploy your applications anywhere in an automated fashion? In this session, you will learn how to do hybrid-deployments to cloud and on-premises environments using TFS and AWS CodeDeploy and explore methods to automatically build and deploy ASP.NET/MVC applications to managed IIS environments on AWS using TFS. You will also learn how to automate container deployment with the help of Microsoft TFS and Amazon Elastic Container Service and the art of maintaining your infrastructure as code on TFS.
The document discusses Amazon Web Services (AWS) tools and services for Java development. It introduces Amazon Corretto, an open-source distribution of OpenJDK supported by AWS. It also discusses the AWS SDK for Java version 2, which is modularized and supports HTTP/2 streaming. Finally, it presents the AWS Cloud Development Kit (CDK), which allows defining AWS infrastructure as code for provisioning resources in a declarative way.
Join this workshop to learn the basics of working with microservices and Amazon ECS. Discover how to prepare two microservice container images, set up the initial Amazon ECS cluster, and deploy the containers with traffic routed through an ALB. You'll deploy a simple web application that enables users to request unicorn rides from the Wild Rydes (http://wildrydes.com/) fleet. The application architecture uses AWS Lambda (https://aws.amazon.com/lambda/), Amazon API Gateway (https://aws.amazon.com/api-gateway/), Amazon S3 (https://aws.amazon.com/s3/), Amazon DynamoDB (https://aws.amazon.com/dynamodb/), Amazon Cognito (https://aws.amazon.com/cognito/), and AWS Amplify Console (https://aws.amazon.com/amplify/console/). Amplify Console hosts static web resources including HTML, CSS, JavaScript, and image files which are loaded in the user's browser via Amazon S3. JavaScript executed in the browser sends and receives data from a public backend API built using AWS Lambda and Amazon API Gateway. Amazon Cognito provides user management and authentication functions to secure the backend API. Finally, DynamoDB provides a persistence layer where data can be stored by the API's AWS Lambda function.
AWS Summit London 2019 - Containers on AWSMassimo Ferre'
This document discusses various options for running containers on AWS, including EC2 instances, ECS, EKS, Lambda, and Fargate. It provides examples of deploying a sample application called Yelb using each option. EKS is highlighted as providing a managed Kubernetes control plane while allowing customers to manage their own worker nodes. ECS is noted as having deep integration with other AWS services. The document concludes that EKS is well suited for hybrid deployments while ECS provides a more out-of-the-box experience through tighter AWS platform integration.
Modern Applications Web Day | Container Workloads on AWSAWS Germany
Containers gained strong traction since day one for both enterprises and startups. Today AWS customers are launching hundreds of millions of new containers – each week. Join us as we cover the state of containerized application development and deployment trends. This session will dive deep on new container capabilities that help customers deploying and running container-based workloads for web services and batches.
Speaker: Steffen Grunwald, Senior Solutions Architect, AWS & Sascha Möllering, Senior Solutions Architect, AWS
IDI 2022: Making sense of the '17 ways to run containers on AWS'Massimo Ferre'
The document discusses different strategies for running containers on AWS. It introduces various AWS services for container deployment and management, including ECS, EKS, Fargate, Lambda, and others. It emphasizes that there is no single solution that can serve all customers, as they have different priorities around simplicity, flexibility, agility, and hybrid capabilities. The document also explores strategic considerations around traditional versus serverless application architectures and how mean time between upgrades affects infrastructure choices. Finally, it proposes using scorecards to evaluate and compare AWS container services based on dimensions like workload support, ease of use, extensibility, and hybrid capabilities.
The document discusses Amazon EKS (Elastic Kubernetes Service), which allows users to run Kubernetes on AWS. It provides an overview of EKS and Kubernetes, the EKS control plane and worker nodes, networking options, storage, scaling, and CI/CD (continuous integration and continuous delivery) workflows. Key points include that EKS manages the control plane for users and integrates well with other AWS services, while allowing users to choose their own worker nodes and retain a native Kubernetes experience.
[Games on AWS 2019] AWS 입문자를 위한 초단기 레벨업 트랙 | AWS 레벨업 하기! : 컨테이너 - 김세호 AWS 솔루션...Amazon Web Services Korea
마이크로 서비스, 모던 어플리케이션으로의 이동은 컨테이너와 밀접한 관계를 가지고 있습니다. AWS에서 제공하는 컨테이너 오케스트레이션 플랫폼인 Amazon Elastic Container Service, Elastic Kubernetes Service에 대한 소개 및 이를 이용한 배포 방법에 대해 알아보고, 서버리스 컨테이너 서비스인 AWS Fargate에 대한 소개를 해드립니다.
This document provides an overview of Amazon Web Services (AWS) container services, including Amazon Elastic Container Service (ECS), AWS Fargate, and Amazon Elastic Kubernetes Service (EKS). It discusses how ECS allows users to run and scale containerized applications using tasks on a cluster of EC2 instances or Fargate. EKS manages Kubernetes clusters that can schedule containers across AWS infrastructure and integrates with other AWS services. The document emphasizes that EKS provides an upstream Kubernetes experience and high availability while allowing integration with native AWS networking and services.
The AWS Cloud offers infrastructure resources optimized for running containers, as well as a set of orchestration services that make it easy for you to build and run containerized applications in production. In this session we will review how Docker containers are used to build microservices and how Amazon Elastic Container Service (Amazon ECS) and AWS Fargate are used for container orchestration to help customers like FINRA run and scale containerized applications on AWS.
This document discusses AWS Fargate, a serverless compute engine for containers on AWS. It begins with an overview of the motivation for Fargate by describing how customers previously had to manage infrastructure like EC2 instances when running containers on ECS. It then introduces Fargate as a way to run and manage containers without having to provision servers. The rest of the document covers key concepts related to Fargate like containers, task definitions, and ECS clusters. It concludes with an announcement of a demo on creating a web application on ECS using Fargate.
AWS SSA Webinar 8 - Getting Started on AWS: ComputeCobus Bernard
The document summarizes different compute options on AWS including Amazon EC2, ECS, Lambda, and Lightsail. It provides an overview of each service, discussing how they compare in terms of what AWS manages versus what customers manage. EC2 is infrastructure as a service, ECS is container management as a service, Lambda is serverless functions, and Lightsail offers simple virtual private servers. The document aims to help customers understand which compute option is best for different types of applications and workload needs.
"Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to learn how to set up a CI/CD pipeline for containerized microservices. You'll get hands-on experience deploying Docker container images using Amazon ECS AWS CloudFormation, AWS CodeBuild, and AWS CodePipline, automating everything from code check-in to production.
AWS credits are provided. Bring your laptop, and have an active AWS account."
Interstella 8888: CICD for Containers on AWS - CON319 - re:Invent 2017Amazon Web Services
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to learn how to set up a CI/CD pipeline for containerized microservices. You'll get hands-on experience deploying Docker container images using Amazon ECS AWS CloudFormation, AWS CodeBuild, and AWS CodePipline, automating everything from code check-in to production.
AWS credits are provided. Bring your laptop, and have an active AWS account.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.
Containers gained strong traction since day one for both enterprises and startups. Today AWS customers are launching hundreds of millions of new containers – each week. Join us as we cover the state of containerized application development and deployment trends. This session will dive deep on new container capabilities that help customers deploying and running container-based workloads for web services and batches.
Similar to Esegui pod serverless con Amazon EKS e AWS Fargate (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Durante i laboratori pratici, gli esperti AWS ti mostrano quali strumenti aiutano a sviluppare le applicazioni Serverless in locale e nel cloud AWS e ti aiuteranno a programmare i prossimi passi per iniziare ad utilizzare questa tecnologia nella tua azienda.
AWS Serverless per startup: come innovare senza preoccuparsi dei serverAmazon Web Services
Serverless computing allows developers to build and run applications without having to manage infrastructure. With serverless, applications can automatically scale as usage increases and developers only pay for the resources consumed. Serverless services on AWS include AWS Lambda, API Gateway, DynamoDB, S3 and more which can be combined into serverless applications and architectures. AWS also provides training and certifications to help developers learn serverless concepts and services.
36. Example: Deploy to workers
Availability Zone 1
Auto Scaling group
Availability Zone 2
Auto Scaling group
Worker node Worker node
Worker node Worker node
Amazon EC2 Auto
Scaling
AWS Fargate
KubernetesAmazon EKS
Fargate Scheduler
Pod 4
Mutating/
Validating
Webhooks
2
3
1
Pod
namespace: default
1
Pod
37. {
"name": profile-a,
"clusterName": mycluster,
"podExecutionRole": iam-role-xyz,
"subnets": subnet-0ad888345,
"selectors": [
{
"namespace": default
}
}
]
}
Fargate profile
Example: Re-deploy to Fargate
Availability Zone 1
Auto Scaling group
Availability Zone 2
Auto Scaling group
Worker node Worker node
Worker node Worker node
Amazon EC2 Auto
Scaling
AWS Fargate
KubernetesAmazon EKS
Fargate Scheduler
Pod 4
Mutating/
Validating
Webhooks
namespace: default
labels:
- profile = profile-a
- shchedulerName = fargate-
schedulerPod
3
2 namespace: default
1
Pod
Same pod spec